Child, Caregiver and Household Well-being Survey Tools for Orphan and Vulnerable Children Programs: Analysis Guidance


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Author(s):

Year: 2014

Child, Caregiver and Household Well-being Survey Tools for Orphan and Vulnerable Children Programs: Analysis Guidance Abstract:

This data analysis guidance is a part of the U.S. President's Emergency Plan for AIDS Relief (PEPFAR) orphans and other vulnerable children (OVC) program evaluation tool kit developed by MEASURE Evaluation. The purpose of this guidance is to:

  • familiarize investigators with PEPFAR’s expectations of how to analyze data gathered from these tools;
  • enable the production of comparative analyses of child and caregiver well-being and household economic status data across a diverse set of interventions and geographical regions; and
  • reduce the burden on local and international researchers who want to implement the OVC program evaluation tools. We hope that this guidance will reduce the level of effort needed to develop study-specific analysis plans.

As indicated in the tools’ manual, the PEPFAR OVC program evaluation tools were developed specifically to support program evaluation but may be adapted for use in intervention evaluations and situation analyses. The purpose for which you have used the tools (program evaluation, intervention evaluation, or situation analysis), your study design (cross-sectional or cohort, with or without a comparison group), whether you are collecting data at one or more points in time (and where you are in your study timeline), and, of course, your study objectives, will determine how you should analyze your data. In this document we give broad guidance focused on areas of interest for program evaluation. In most cases, we demonstrate analyses for data collected at a single point of time without a comparison group. We provide examples of how to present data collected at two or more points of time, with and without a comparison group in an appendix. The guidance has been written for use by masters-level research and monitoring and evaluation staff who have some training or experience in using statistical software such as Microsoft Excel, STATA, or IBM’s SPSS.